Fundamentals 4 min read

Data Publication Diagram and UML/BPMN EAP Profile Overview

The article explains the purpose and benefits of data publication diagrams for visualizing relationships among data entities, services, and application components, introduces UML/BPMN EAP profile components with illustrative images, and outlines Archimate modeling elements, highlighting how data is localized within repositories or entity application components.

Architects Research Society
Architects Research Society
Architects Research Society
Data Publication Diagram and UML/BPMN EAP Profile Overview

Data Publication Diagram

The purpose of a data publication diagram is to show the relationships between data entities, business services, and application components, illustrating how application components physically implement logical entities, enabling effective scaling and refined IT footprint, and allowing business value to be assigned to data for indicating component criticality, including master‑replica relationships and service encapsulation.

UML/BPMN EAP Profile

Entity Component: usually derived from a business entity and responsible for managing access and integrity of the entity.

Interaction Component: a top‑level component that manages interaction with external elements, typically a GUI such as a web interface.

Process Component: responsible for business process execution and orchestration of tasks.

Database Component: represents a repository; while not expected in a pure SOA architecture, it is useful for legacy analysis or technical architecture modeling.

Persistent Entity.

Archimate

Application Component.

Data Object.

In this model, data is localized to a repository or an entity application component.

Data ModelingUMLenterprise architectureArchiMateEAP Profile
Architects Research Society
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Architects Research Society

A daily treasure trove for architects, expanding your view and depth. We share enterprise, business, application, data, technology, and security architecture, discuss frameworks, planning, governance, standards, and implementation, and explore emerging styles such as microservices, event‑driven, micro‑frontend, big data, data warehousing, IoT, and AI architecture.

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